| Adaptive test selection for deep neural networks X Gao, Y Feng, Y Yin, Z Liu, Z Chen, B Xu Proceedings of the 44th International Conference on Software Engineering, 73-85, 2022 | 34 | 2022 |
| DeepState: selecting test suites to enhance the robustness of recurrent neural networks Z Liu, Y Feng, Y Yin, Z Chen Proceedings of the 44th International Conference on Software Engineering …, 2022 | 18 | 2022 |
| Qatest: A uniform fuzzing framework for question answering systems Z Liu, Y Feng, Y Yin, J Sun, Z Chen, B Xu Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 15 | 2022 |
| scTIM: seeking cell-type-indicative marker from single cell RNA-seq data by consensus optimization Z Feng, X Ren, Y Fang, Y Yin, C Huang, Y Zhao, Y Wang Bioinformatics 36 (8), 2474-2485, 2020 | 12 | 2020 |
| Dynamic Data Fault Localization for Deep Neural Networks Y Yin, Y Feng, S Weng, Z Liu, Y Yao, Y Zhang, Z Zhao, Z Chen Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 2 | 2023 |
| Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems S Weng, Y Feng, Y Yin, J Liu Proceedings of the 14th Asia-Pacific Symposium on Internetware, 194-204, 2023 | 1 | 2023 |
| Datactive: Data Fault Localization for Object Detection Systems Y Yin, Y Feng, S Weng, Y Yao, J Liu, Z Zhao Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | | 2024 |
| Practical Accuracy Evaluation for Deep Learning Systems via Latent Representation Discrepancy Y Yin, Y Feng, Z Liu, Z Zhao Proceedings of the 14th Asia-Pacific Symposium on Internetware, 205-215, 2023 | | 2023 |
